vignesh2404/shawgpt-ft

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # shawgpt-ft
 
 This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.9096
 
 ## Model description
 
@@ -47,22 +45,6 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.5412        | 1.0   | 138  | 3.1697          |
-| 3.3721        | 2.0   | 276  | 3.0695          |
-| 3.2929        | 3.0   | 414  | 2.9924          |
-| 3.2278        | 4.0   | 552  | 2.9467          |
-| 3.1929        | 5.0   | 690  | 2.9341          |
-| 3.181         | 6.0   | 828  | 2.9238          |
-| 3.1635        | 7.0   | 966  | 2.9183          |
-| 3.1524        | 8.0   | 1104 | 2.9131          |
-| 3.1492        | 9.0   | 1242 | 2.9101          |
-| 3.1411        | 10.0  | 1380 | 2.9096          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2

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